eprintid: 8688
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/86/88
datestamp: 2023-11-09 16:20:36
lastmod: 2023-11-09 16:20:36
status_changed: 2023-11-09 16:13:17
type: article
metadata_visibility: show
creators_name: Bahloul, M.R.
creators_name: Yusoff, M.Z.
creators_name: Abdel, A.-H.
creators_name: Naufal, M.M.S.
creators_name: Kudsi, L.
title: Spectrum sensing for cognitive radio systems using modulation classification: A review
ispublished: pub
note: cited By 2
abstract: Spectrum sensing is the most important procedure for the operation of cognitive radio systems. To overcome the shortcomings of the conventional spectrum sensing techniques, considerable attention has been recently focused on the use of Modulation Classification (MC) for spectrum sensing. It relies on the fact that all primary users employ one modulation scheme or another for the transmission over the wireless channel; therefore, detecting any modulation scheme would be enough to confirm the presence of the primary user's signal in the wireless channel. This paper discusses the spectrum sensing for cognitive radio systems using modulation classification and provides a critical review of the existing methods; where gaps in the knowledge base are highlighted and directions for future research are suggested. © 2017. NSP Natural Sciences Publishing Cor.
date: 2017
publisher: Natural Sciences Publishing USA
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018393660&doi=10.18576%2famis%2f110326&partnerID=40&md5=5a54702bf7254028a41a52bfa52ecc62
id_number: 10.18576/amis/110326
full_text_status: none
publication: Applied Mathematics and Information Sciences
volume: 11
number: 3
pagerange: 857-865
refereed: TRUE
issn: 19350090
citation:   Bahloul, M.R. and Yusoff, M.Z. and Abdel, A.-H. and Naufal, M.M.S. and Kudsi, L.  (2017) Spectrum sensing for cognitive radio systems using modulation classification: A review.  Applied Mathematics and Information Sciences, 11 (3).  pp. 857-865.  ISSN 19350090